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Data warehouse ⇄ ERP

Apache Druid to SAP S/4HANA integration — real-time, two-way sync

Keep Apache Druid and SAP S/4HANA in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Apache Druid and SAP S/4HANA

Put SAP S/4HANA's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where SAP S/4HANA can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether SAP S/4HANA carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Billing Documents (Invoices), Deliveries, Journal Entries, Customer / Supplier Roles from SAP S/4HANA into tables in Apache Druid continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Druid can be written back to fields in SAP S/4HANA where that is useful.

Common use cases

  • 01 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 02 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 03 Surface invoice and payment status from S/4HANA inside the CRM so account teams see open balances.
  • 04 Replicate material master and pricing data to e-commerce and quoting tools.

Common sync patterns

Where SAP S/4HANA is the HR system of record: workforce analytics

Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.

Where SAP S/4HANA runs operations: order and supply analysis

Operational records become queryable tables in Apache Druid, joinable with sales and finance data.

Group reporting across systems

Combine SAP S/4HANA's records with data synced from other systems in Apache Druid for consolidated views no single system can produce.

What you can sync between Apache Druid and SAP S/4HANA

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Apache Druid objects SAP S/4HANA objects How this pairing syncs
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Journal Entries Financial postings read into warehouses and consolidation tools for reporting. Ingestion Supervisors is specific to Apache Druid and Journal Entries to SAP S/4HANA — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. Lookups is specific to Apache Druid and Customer / Supplier Roles to SAP S/4HANA — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Production Orders Manufacturing order status surfaced in planning and operations tools. Tasks is specific to Apache Druid and Production Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Business Partners Unified customer and supplier master records, the anchor entity for CRM-to-ERP account syncs. Datasources is specific to Apache Druid and Business Partners to SAP S/4HANA — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Sales Orders Order headers and line items synced to CRMs and fulfillment systems as they are created or amended. Segments is specific to Apache Druid and Sales Orders to SAP S/4HANA — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Purchase Orders Procurement documents shared with supplier portals and spend-management tools. Dimensions is specific to Apache Druid and Purchase Orders to SAP S/4HANA — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and SAP S/4HANA

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Apache Druid SAP S/4HANA Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

DeliveryEach detected change is written to SAP S/4HANA through its API, with automatic retries and rate-limit backoff.

SAP S/4HANA Apache Druid Interval-based propagation

DetectionStacksync polls SAP S/4HANA for changes on an incremental schedule, reading only records changed since the previous pass. Polling on change timestamps exposed by the OData services.

DeliveryEach detected change is applied to Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • SAP S/4HANA: Subject to the platform's API rate limits, which vary by edition and communication arrangement.
What ships with Apache Druid ⇄ SAP S/4HANA

Connect Apache Druid and SAP S/4HANA for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–SAP S/4HANA connection.

Real-time

Two-way sync

Changes in Apache Druid or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or SAP S/4HANA data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Apache Druid or SAP S/4HANA record.

Observability

Monitoring

Track your Apache Druid ⇄ SAP S/4HANA sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and SAP S/4HANA.

How the Apache Druid and SAP S/4HANA connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

SAP S/4HANA

Integration surface
OData REST APIs (v2/v4), with SOAP, BAPI/RFC, and IDoc interfaces on on-premise editions
Authentication
OAuth 2.0 with communication arrangements on cloud editions; basic auth or certificate-based on-premise
Change detection
Polling on change timestamps exposed by the OData services; business events can be emitted through SAP's event infrastructure on cloud editions
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits, which vary by edition and communication arrangement
How it works

How to connect Apache Druid to SAP S/4HANA — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Apache Druid and SAP S/4HANA with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Druid connected
    SAP S/4HANA connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid and SAP S/4HANA objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Druid ⇄ SAP S/4HANA
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Druid SAP S/4HANA
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and SAP S/4HANA integration FAQ

SECURITY

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As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 443 integrations available for Apache Druid and SAP S/4HANA.

Popular · 6 of 443
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